add_attr | Add attribute to abject |
add_class | Add class to abject |
add_scaled_counts_bulk.calcNormFactor | Calculate the norm factor with calcNormFactor from limma |
add_scaled_counts_bulk.get_low_expressed | Drop lowly transcribed genes for TMM normalization |
adjust_abundance-methods | Adjust transcript abundance for unwanted variation |
aggregate_duplicated_transcripts_bulk | Aggregates multiple counts from the same samples (e.g., from... |
aggregate_duplicates-methods | Aggregates multiple counts from the same samples (e.g., from... |
as_matrix | Get matrix from tibble |
bind | Efficiently bind multiple data frames by row and column |
breast_tcga_mini | Data set |
check_if_counts_is_na | Check whether there are NA counts |
check_if_duplicated_genes | Check whether there are duplicated genes/transcripts |
check_if_wrong_input | Check whether there are NA counts |
cluster_elements-methods | Get clusters of elements (e.g., samples or transcripts) |
counts | Example data set |
counts_ensembl | Counts with ensembl annotation |
counts_mini | Example data set reduced |
create_tt_from_bam_sam_bulk | Convert bam/sam files to a tidy gene transcript counts data... |
create_tt_from_tibble_bulk | Create tt object from tibble |
deconvolve_cellularity-methods | Get cell type proportions from samples |
describe_transcript | Get DESCRIPTION from gene SYMBOL for Human and Mouse |
distinct | distinct |
dplyr-methods | drplyr-methods |
drop_attr | Drop attribute to abject |
drop_class | Remove class to abject |
ensembl_symbol_mapping | Data set |
ensembl_to_symbol-methods | Add transcript symbol column from ensembl id for human and... |
error_if_counts_is_na | Check whether there are NA counts |
error_if_duplicated_genes | Check whether there are duplicated genes/transcripts |
error_if_log_transformed | Check whether a numeric vector has been log transformed |
error_if_wrong_input | Check whether there are NA counts |
fill_missing_abundance-methods | Fill transcript abundance if missing from sample-transcript... |
fill_NA_using_formula | This function is needed for DE in case the matrix is not... |
fill_NA_using_value | This function is needed for DE in case the matrix is not... |
fill_NA_with_row_median | This function is needed for DE in case the matrix is not... |
filter | Subset rows using column values |
flybaseIDs | flybaseIDs |
full_join | Full join datasets |
get_abundance_norm_if_exists | Get column names either from user or from attributes |
get_adjusted_counts_for_unwanted_variation_bulk | Get adjusted count for some batch effect |
get_bibliography-methods | Produces the bibliography list of your workflow |
get_cell_type_proportions | Get cell type proportions from cibersort |
get_clusters_kmeans_bulk | Get K-mean clusters to a tibble |
get_clusters_SNN_bulk | Get SNN shared nearest neighbour clusters to a tibble |
get_differential_transcript_abundance_bulk | Get differential transcription information to a tibble using... |
get_differential_transcript_abundance_bulk_voom | Get differential transcription information to a tibble using... |
get_differential_transcript_abundance_deseq2 | Get differential transcription information to a tibble using... |
get_elements | Get column names either from user or from attributes |
get_elements_features | Get column names either from user or from attributes |
get_elements_features_abundance | Get column names either from user or from attributes |
get_reduced_dimensions_MDS_bulk | Get dimensionality information to a tibble using MDS |
get_reduced_dimensions_PCA_bulk | Get principal component information to a tibble using PCA |
get_reduced_dimensions_TSNE_bulk | Get principal component information to a tibble using tSNE |
get_rotated_dimensions | Get rotated dimensions of two principal components or MDS... |
get_sample | Get column names either from user or from attributes |
get_sample_counts | Get column names either from user or from attributes |
get_sample_transcript | Get column names either from user or from attributes |
get_sample_transcript_counts | Get column names either from user or from attributes |
get_scaled_counts_bulk | Get a tibble with scaled counts using TMM |
get_symbol_from_ensembl | after wget, this function merges hg37 and hg38 mapping data... |
get_transcript | Get column names either from user or from attributes |
get_x_y_annotation_columns | get_x_y_annotation_columns |
group_by | Group by one or more variables |
identify_abundant-methods | find abundant transcripts |
ifelse2_pipe | This is a generalisation of ifelse that acceots an object and... |
ifelse_pipe | This is a generalisation of ifelse that acceots an object and... |
impute_missing_abundance-methods | impute transcript abundance if missing from sample-transcript... |
inner_join | Inner join datasets |
keep_abundant-methods | Keep abundant transcripts |
keep_variable-methods | Keep variable transcripts |
keep_variable_transcripts | Identify variable genes for dimensionality reduction |
left_join | Left join datasets |
log10_reverse_trans | log10_reverse_trans |
logit_trans | logit scale |
mutate | Create, modify, and delete columns |
parse_formula | .formula parser |
parse_formula_survival | Formula parser with survival |
pipe | Pipe operator |
pivot_sample-methods | Extract sample-wise information |
pivot_transcript-methods | Extract transcript-wise information |
prepend | From rlang deprecated |
quo_names | Convert array of quosure (e.g. c(col_a, col_b)) into... |
reduce_dimensions-methods | Dimension reduction of the transcript abundance data |
reexports | Objects exported from other packages |
remove_redundancy_elements_though_reduced_dimensions | Identifies the closest pairs in a MDS context and return one... |
remove_redundancy_elements_through_correlation | Drop redundant elements (e.g., samples) for which feature... |
remove_redundancy-methods | Drop redundant elements (e.g., samples) for which feature... |
rename | Rename columns |
right_join | Right join datasets |
rotate_dimensions-methods | Rotate two dimensions (e.g., principal components) of an... |
rowwise | Group input by rows |
run_epic | Perform linear equation system analysis through llsr |
run_llsr | Perform linear equation system analysis through llsr |
scale_abundance-methods | Scale the counts of transcripts/genes |
scale_design | Scale design matrix |
se | SummarizedExperiment |
select_closest_pairs | Sub function of... |
se_mini | SummarizedExperiment mini for vignette |
summarise | Summarise each group to fewer rows |
symbol_to_entrez | Get ENTREZ id from gene SYMBOL |
test_deseq2_df | SummarizedExperiment mini for vignette |
test_differential_abundance-methods | Perform differential transcription testing using edgeR QLT,... |
test_differential_cellularity_ | Get differential composition information to a tibble using... |
test_differential_cellularity-methods | Add differential tissue composition information to a tbl |
test_gene_enrichment_bulk_EGSEA | Get gene enrichment analyses using EGSEA |
test_gene_enrichment-methods | analyse gene enrichment with EGSEA |
test_gene_overrepresentation-methods | analyse gene over-representation with GSEA |
tidybulk-methods | Creates a 'tt' object from a 'tbl' or 'SummarizedExperiment'... |
tidybulk_SAM_BAM-methods | Creates a 'tt' object from a list of file names of BAM/SAM |
tidybulk_to_SummarizedExperiment | tidybulk_to_SummarizedExperiment |
tidyr-methods | unnest |
vignette_manuscript_signature_boxplot | Needed for vignette vignette_manuscript_signature_boxplot |
vignette_manuscript_signature_tsne | Needed for vignette vignette_manuscript_signature_tsne |
vignette_manuscript_signature_tsne2 | Needed for vignette vignette_manuscript_signature_tsne2 |
X_cibersort | Cibersort reference |
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